Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.

Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.

Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including disaster relief.

A low-cost analog circuit based on synchronizing oscillators could scale up quickly and cheaply to beat out digital computers.

By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.

Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.

Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.

Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.

Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.

Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.